py-squid-blacklists

Squid helper handling squidguard blacklists written in python

• Only supports domains blacklists actually (ie : google.com, www.google.com, mail.google.com, etc.)
• In config specified blacklists are loaded in RAM or CDB backend using https://github.com/acg/python-cdb
• Usable as an external acl plugin of squid
• Written because of poor development on squidguard and some issues using blacklists on squid3

## Usage

Add this configuration to squid.conf :

external_acl_type urlblacklist_lookup ttl=5 %URI /usr/bin/python /usr/local/py-squid-blacklists/py-squid-blacklists.py
...
acl urlblacklist external urlblacklist_lookup
...
http_access deny urlblacklist

Config file must be include following statements

url = http://dsi.ut-capitole.fr/blacklists/download/blacklists.tar.gz
base_dir = /usr/local/py-squid-blacklists/
categories = adult,malware
db_backend = cdb

• url : squidguard-like blacklists files, this variable is not already usable
• base_dir : root path containing blacklists files, metadata (update datetime)
• categories : blacklists to use for filtering
• db_backend : database flavour (ram|cdb)

TODO

• Auto-fetcher using url if blacklists are not already downloaded or stored on the squid machine (wip)
• Compatibility with python3 only
• Filters for regex urls
• Code optimisation (profiling) and cleaning (wip)
• Tests (wip)
• ...

DBs support ideas

• High performance but heavy RAM usage when using dict()
• Sqlite3 tested, small memory footprint, but very slow
• CDB backend seems to be as fast as attended, with a very small footprint

DBs Benchmarks

RAM usage For one thread with categories ["adult","malware"]

Debian 8 / python 2.7.9 / squid 3.4.8

• ram : 90Mo
• cdb : 6Mo